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At a Glance
Market Segments
Enterprise (57.1% of reviews)
Mid-Market (41.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Druid
Star Rating
(31)4.3 out of 5
Market Segments
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DruidPentaho Data Integration
Star Rating
(17)4.3 out of 5
Market Segments
Mid-Market (41.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Pentaho Data IntegrationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Pentaho Data Integration excels in its data transformation capabilities, allowing for complex ETL processes with a user-friendly interface, while Druid is noted for its real-time data collection and analytics, making it ideal for time-sensitive data applications.
- Reviewers mention that Pentaho's ease of setup is rated at 7.6, which is higher than Druid's 6.4, indicating that users find Pentaho more straightforward to implement in their environments.
- G2 users highlight that Druid's query latency is significantly lower, which is crucial for applications requiring fast data retrieval, while Pentaho's focus is more on data quality and transformation processes.
- Users on G2 report that Pentaho Data Integration has a strong data governance framework, which is essential for compliance and data management, whereas Druid's strength lies in its auto sharding feature, which enhances scalability and performance.
- Reviewers say that Druid's security features, including robust role-based authorization and encryption, are highly rated, making it a preferred choice for organizations prioritizing data security, while Pentaho's security measures are considered adequate but not as comprehensive.
- Users report that Pentaho's built-in data analytics tools are beneficial for users looking to perform in-depth analysis without needing additional software, while Druid's integration with BI tools is seen as a strong point for users who want to leverage existing analytics platforms.
Pricing
Entry-Level Pricing
Druid
No pricing availablePentaho Data Integration
No pricing availableFree Trial
Druid
Free Trial is available
Pentaho Data Integration
No trial information availableRatings
Meets Requirements
8.4
20
8.7
15
Ease of Use
8.0
20
8.6
15
Ease of Setup
6.4
7
8.0
9
Ease of Admin
6.4
7
8.6
7
Quality of Support
7.9
18
7.2
12
Has the product been a good partner in doing business?
7.7
5
8.6
6
Product Direction (% positive)
7.3
17
9.2
14
Features by Category
Management
Not enough data
8.7
5
Not enough data
9.0
5
Functionality
Not enough data
9.7
5
Not enough data
9.7
5
Not enough data
9.3
5
Not enough data
8.3
5
Not enough data
8.7
5
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Agentic AI - Cloud Migration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
8.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.0
5
Not enough data
Integration
Not enough data
Not enough data
7.0
5
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
8.3
5
Not enough data
Performance
8.3
5
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Storage
8.8
10
Not enough data
7.8
10
Not enough data
Availability
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Not enough data
Performance
8.9
9
Not enough data
Security
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Not enough data
Support
8.8
10
Not enough data
9.2
11
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Not enough data
Integrations
8.8
8
Not enough data
8.1
9
Not enough data
Platform
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Not enough data
Processing
8.6
7
Not enough data
8.7
9
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Druid and Pentaho Data Integration are categorized as Big Data Processing and Distribution
Unique Categories
Druid is categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, Relational Databases, and Data Warehouse
Pentaho Data Integration is categorized as Cloud Migration, Big Data Integration Platforms, ETL Tools, On-Premise Data Integration, and Data Mapping
Reviews
Reviewers' Company Size
Druid
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Pentaho Data Integration
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
Information Technology and Services
35.3%
Telecommunications
11.8%
Banking
11.8%
Internet
5.9%
Information Services
5.9%
Other
29.4%
Alternatives
Discussions
Is it good to use Druid (for a small dataset) as an in-memory database ?
1 Comment
DG
Yes it is good for medium size data sets to big scale datasetsRead more
Druid has no more discussions with answers
Pentaho Data Integration has no discussions with answers
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